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Volver a Big Data, Genes, and Medicine

Opiniones y comentarios de aprendices correspondientes a Big Data, Genes, and Medicine por parte de Universidad Estatal de Nueva York

4.2
122 calificaciones
35 revisiones

Acerca del Curso

This course distills for you expert knowledge and skills mastered by professionals in Health Big Data Science and Bioinformatics. You will learn exciting facts about the human body biology and chemistry, genetics, and medicine that will be intertwined with the science of Big Data and skills to harness the avalanche of data openly available at your fingertips and which we are just starting to make sense of. We’ll investigate the different steps required to master Big Data analytics on real datasets, including Next Generation Sequencing data, in a healthcare and biological context, from preparing data for analysis to completing the analysis, interpreting the results, visualizing them, and sharing the results. Needless to say, when you master these high-demand skills, you will be well positioned to apply for or move to positions in biomedical data analytics and bioinformatics. No matter what your skill levels are in biomedical or technical areas, you will gain highly valuable new or sharpened skills that will make you stand-out as a professional and want to dive even deeper in biomedical Big Data. It is my hope that this course will spark your interest in the vast possibilities offered by publicly available Big Data to better understand, prevent, and treat diseases....

Principales revisiones

MA

May 10, 2019

Really enjoying the way she is teaching. Very easy to learn and practice. I strongly believe when I will complete the course I will gain a remarkable skill on Big Data, Genes, and Medicine.

HH

Mar 07, 2017

The course is amazing, I want to purchase the course but it is not being working...I don't know what is the problem.

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26 - 34 de 34 revisiones para Big Data, Genes, and Medicine

por Peter S

Jan 04, 2017

A great introduction to the topic. It will leave you wanting to learn more.

por Vasco S O L C

Aug 28, 2018

Apart form minor issues in the assessments, I really enjoyed this course as it was presented clearly and concise by professor Isabelle Bichindaritz

por Ernesto P

Sep 28, 2017

Good material but it needs practice exercises

por Pranali S D

Sep 30, 2018

I happy with the technical content of the course however there are numerous technical glitches .

por Mike B

May 09, 2019

Lots of errors within the course made for irritating troubleshooting

por Mohamed A

Aug 16, 2017

This course is for beginners only. When the instructor starts to explain the euclidean distance between two points, you fell that you picked the wrong course. Don't expect to learn R with this course. All scripts are already written. You will only change some values and run them again.

por pietra

Jul 12, 2017

The course is boring and very difficult to follow because of the language accent of the teacher and the dept of the content.

por Andyk

Mar 19, 2017

Poorly organized course. The lectures seemed to jump around from one point to another. In some cases, way too much detail; in others, not nearly enough.

The subtitles have so many errors that they are virtually useless.

por Marcos P

Mar 07, 2017

Difficult to understand due to her very strong accent and poor audio, meaning I spend 90% of my effort trying to make out what she's saying. As it turns out, all she does is read from the slides! no additional insight, nothing. This makes it boring to hear and she comes across with no personality (although a quick rate-my-professors search tells us a very different story, a real shame since people seem to really like her). At any rate after one week of this course and not seeing any improvement, I've decided to call it quits.